Hadoop Engineer

Hadoop Engineer Location: Irving, TX | Phoenix, AZ | Charlotte, NC (Hybrid) Duration: 12-Month Contract Level: Software Engineer 3 / Software Engineer 4 Overview Seeking an experienced Hadoop / HPE MapR Engineer to support and optimize enterprise-scale distributed data platforms in a high-availability production environment. This role focuses on engineering, administration, monitoring, troubleshooting, and performance optimization of HPE MapR-based Hadoop ecosystems supporting large-scale data workloads. The ideal candidate brings strong experience with distributed systems, Linux administration, Hadoop technologies, Apache Spark, and enterprise production support. Key Responsibilities Design, build, maintain, and optimize large-scale Hadoop and HPE MapR data platforms Support enterprise distributed systems with focus on scalability, performance, reliability, and availability Administer and troubleshoot HPE MapR clusters in production environments Monitor cluster health, storage utilization, processing performance, and system stability Resolve complex infrastructure and application issues across distributed environments Support batch and stream data processing workloads using Apache Spark and related technologies Perform Linux/Unix administration tasks, scripting, automation, and operational support Collaborate with engineering, infrastructure, and architecture teams on platform enhancements and operational improvements Support high-availability configurations and enterprise resiliency initiatives Utilize monitoring and observability tools to identify, analyze, and resolve system issues Participate in operational support, incident resolution, root cause analysis, and performance tuning initiatives Required Qualifications Software Engineer 3 3–5 years of experience in software engineering, big data engineering, infrastructure engineering, or distributed systems support Hands‑on experience with Hadoop ecosystems, specifically HPE MapR Strong understanding of distributed systems, cluster computing, and enterprise data platforms Experience administering Linux/Unix systems in enterprise environments Experience with one or more scripting/programming languages: Python Java Scala Bash/Shell Experience with Apache Spark and distributed data processing frameworks Experience supporting enterprise production environments with high availability requirements Strong troubleshooting and performance tuning experience Familiarity with monitoring tools such as Grafana, Prometheus, Splunk, or similar platforms Software Engineer 4 5+ years of experience in software engineering, big data engineering, infrastructure engineering, or distributed systems support Advanced hands‑on expertise with Hadoop ecosystems and HPE MapR platforms Deep understanding of distributed storage, cluster operations, scalability, and resiliency Strong enterprise production support and operational engineering experience Advanced troubleshooting and performance optimization capabilities within large-scale distributed environments Experience supporting mission‑critical enterprise data platforms Preferred Skills Experience with enterprise‑scale Hadoop migrations or modernization initiatives Knowledge of streaming technologies and data pipeline architectures Experience with automation, infrastructure scripting, or platform reliability engineering Familiarity with enterprise compliance and operational standards Experience working in Agile delivery environments Ideal Candidate Strong hands‑on engineer with enterprise Hadoop and HPE MapR expertise Comfortable operating in complex, large‑scale production environments Experienced troubleshooting distributed systems and performance bottlenecks Able to balance operational support with platform engineering improvements Effective communicator who can collaborate across engineering and infrastructure teams #J-18808-Ljbffr Strategic Staffing Solutions